code: def test_from_huggingface(self, capsys):
      model_id = "hf://epwalsh/bert-xsmall-dummy/pytorch_model.bin"
      sys.argv = [
          "allennlp",
          "diff",
          model_id,
          model_id,
      ]
      main()
      captured = capsys.readouterr()
      assert (
          _clean_output(captured.out)
          == """
   embeddings.word_embeddings.weight, shape = (250, 20)
   embeddings.position_embeddings.weight, shape = (512, 20)
   embeddings.token_type_embeddings.weight, shape = (2, 20)
   embeddings.LayerNorm.weight, shape = (20,)
   embeddings.LayerNorm.bias, shape = (20,)
   encoder.layer.0.attention.self.query.weight, shape = (20, 20)
   encoder.layer.0.attention.self.query.bias, shape = (20,)
   encoder.layer.0.attention.self.key.weight, shape = (20, 20)
   encoder.layer.0.attention.self.key.bias, shape = (20,)
   encoder.layer.0.attention.self.value.weight, shape = (20, 20)
   encoder.layer.0.attention.self.value.bias, shape = (20,)
   encoder.layer.0.attention.output.dense.weight, shape = (20, 20)
   encoder.layer.0.attention.output.dense.bias, shape = (20,)
   encoder.layer.0.attention.output.LayerNorm.weight, shape = (20,)
   encoder.layer.0.attention.output.LayerNorm.bias, shape = (20,)
   encoder.layer.0.intermediate.dense.weight, shape = (40, 20)
   encoder.layer.0.intermediate.dense.bias, shape = (40,)
   encoder.layer.0.output.dense.weight, shape = (20, 40)
   encoder.layer.0.output.dense.bias, shape = (20,)
   encoder.layer.0.output.LayerNorm.weight, shape = (20,)
   encoder.layer.0.output.LayerNorm.bias, shape = (20,)
   pooler.dense.weight, shape = (20, 20)
   pooler.dense.bias, shape = (20,)
          """.strip()
      )
  
file_path: allennlp/tests/commands/diff_test.py
imports: import sys
  import torch
  from torch.nn import Parameter
  from allennlp.commands import main
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 2 for calling the TestDiffCommand obj's underlying member method code with example usage: obj.test_from_huggingface(capsys) without return types